(int) originalUuid.node[0], (int) originalUuid.node[1], (int) originalUuid.node[2], (int) originalUuid.node[3],
                    (int) originalUuid.node[4], (int) originalUuid.node[5]);
            when(decodeBuffer.derive(anyInt())).thenReturn(decodeBuffer);

            // When: Decoding into a new UUID

    private NodePointer parent;

    private XmlNode node;

    private List<Map.Entry<String, String>> attributes;

    private Map.Entry<String, String> attribute;

    private int position;

    Xpp3DomAttributeIterator(NodePointer parent, QName qname) {
        this.parent = parent;
        this.node = (XmlNode) parent.getNode();

        this.attributes = this.node.attributes().entrySet().stream()

     * be read without locking. Next fields of nodes are immutable (final). All list additions are
     * performed at the front of each bin. This makes it easy to check changes, and also fast to
     * traverse. When nodes would otherwise be changed, new nodes are created to replace them. This

            _src.advance(1 * _nodes);

            if (node == null) {
                if (_nodes < 0 || _nodes > 0xFFFF) {
                    throw new NdrException(NdrException.INVALID_CONFORMANCE);
                }
                node = new byte[_nodes];
            }
            _src = _src.derive(_nodei);
            for (int _i = 0; _i < _nodes; _i++) {
                node[_i] = (byte) _src.dec_ndr_small();
            }
        }

		return
	}

	go func() {
		r := rand.New(rand.NewSource(time.Now().UnixNano()))
		// Leader node (that successfully acquires the lock inside runCallhome)
		// will keep performing the callhome. If the leader goes down for some reason,
		// the lock will be released and another node will acquire it and take over
		// because of this loop.
		for {
			if !globalCallhomeConfig.Enabled() {
				return
			}

docker volume rm $(docker volume ls -q -f dangling=true) || true

# Stop two nodes, one of each pool, to check that all S3 calls work while quorum is still there
[ "${MODE}" == "pools" ] && docker-compose -f minio-${MODE}.yaml stop minio2
[ "${MODE}" == "pools" ] && docker-compose -f minio-${MODE}.yaml stop minio6

# Pause one node, to check that all S3 calls work while one node goes wrong

接著，再次等待 🕙 回應。

這種「等待」 🕙 通常以微秒來衡量，但累加起來，最終還是花費了很多等待時間。

這就是為什麼對於 Web API 來說，使用非同步程式碼 ⏸🔀⏯ 是非常有意義的。

這種類型的非同步性正是 NodeJS 成功的原因（儘管 NodeJS 不是平行的），這也是 Go 語言作為程式語言的一個強大優勢。

這與 **FastAPI** 所能提供的性能水平相同。

你的服务器正在等待很多很多用户通过他们不太好的网络发送来的请求。

然后再次等待 🕙 响应回来。

这个"等待" 🕙 是以微秒为单位测量的，但总的来说，最后还是等待很久。

这就是为什么使用异步对于 Web API 很有意义的原因 ⏸🔀⏯。

这种异步机制正是 NodeJS 受到欢迎的原因（尽管 NodeJS 不是并行的），以及 Go 作为编程语言的优势所在。

这与 **FastAPI** 的性能水平相同。

}

var _ yaml.Unmarshaler = &BatchJobKV{}

// UnmarshalYAML - BatchJobKV extends default unmarshal to extract line, col information.
func (kv *BatchJobKV) UnmarshalYAML(val *yaml.Node) error {
	type jobKV BatchJobKV
	var tmp jobKV
	err := val.Decode(&tmp)
	if err != nil {
		return err
	}
	*kv = BatchJobKV(tmp)
	kv.line, kv.col = val.Line, val.Column
	return nil
}

# Erasure code sizing guide

## Toy Setups

Capacity constrained environments, MinIO will work but not recommended for production.

| servers | drives (per node) | stripe_size | parity chosen (default) | tolerance for reads (servers) | tolerance for writes (servers) |
|--------:|------------------:|------------:|------------------------:|------------------------------:|-------------------------------:|